Type this exactly: cat /opt/ai-lab/rag/index-status.json
cat /opt/ai-lab/rag/index-status.json
Check index freshness through a bounded evidence-first AI operations workflow in the training lab.
Retrieval and embeddingscat /opt/ai-lab/rag/index-status.jsonaiops rag inspect check-index-freshnessgrep rag /opt/ai-lab/rag/index-status.json
Click any instruction for the command details, the why, and the common mistake to avoid.
Type this exactly: cat /opt/ai-lab/rag/index-status.json
cat /opt/ai-lab/rag/index-status.json
Type this exactly: aiops rag inspect check-index-freshness
aiops rag inspect check-index-freshness
Type this exactly: grep rag /opt/ai-lab/rag/index-status.json
grep rag /opt/ai-lab/rag/index-status.json
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Use commands and observable output to explain check index freshness without changing a real model or service.
Start with cat /opt/ai-lab/rag/index-status.json. Then run aiops rag inspect check-index-freshness before collecting the final evidence.
Check index freshness is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.
aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
aiops prompts
Review versioned prompt metadata and deterministic prompt diffs.
aiops evals
Run and inspect bounded evaluation fixtures without model execution.
aiops rag
Inspect retrieval documents, chunks, index status, and reviewed results.
aiops traces
Read deterministic request traces, summaries, and latency evidence.
aiops guardrails
Review simulated guardrail policies, checks, and audit summaries.
aiops cost
Estimate cost and capacity from fixed training metrics.
aiops incidents
Review incident timelines, evidence bundles, and operator notes.